Effects of altered precipitation regimes on plant productivity in the arid region of northern China

2016 ◽  
Vol 31 ◽  
pp. 137-146 ◽  
Author(s):  
Hao-jie Xu ◽  
Xin-ping Wang
2021 ◽  
Author(s):  
Tianxue Yang ◽  
Junda Chen ◽  
Xiaoyue Zhong ◽  
Xuechen Yang ◽  
Gui Wang ◽  
...  

Abstract Purpose Climate models predict shifts in precipitation patterns characterized by increased precipitation amount and decreased frequency for semi-arid grasslands in northeast China. However, under these novel climatic conditions, potential differences in plant biomass and its allocation among different degraded grasslands remain unclear.Methods We conducted a mesocosm experiment to test the effects of higher precipitation amount (increased by 50% from the long-term mean) and lower frequency (decreased by 50%) on plant biomass and allocation in the lightly degraded (LDG), moderately degraded (MDG), and severely degraded grasslands (SDG).Results Lower precipitation frequency promoted belowground biomass (BGB), while reducing aboveground biomass (AGB) allocation through enhancing soil water variability. Higher precipitation amount enhanced AGB in LDG and MDG, but not in SDG due to less soil inorganic nitrogen. Lower precipitation frequency weakened the positive effects of higher precipitation amount on biomass. Under altered precipitation, adjustment of AGB vs. BGB allocation was the primary biomass allocation strategy in LDG and SDG. However, to maintain water acquirement, plants in MDG preferred to adjust root vertical distribution, and allocated more roots to the deep soil layer where had a relatively stable water source. This strategy was driven by the changes in plant community composition of the dominant species in MDG.Conclusions The findings of this research emphasized the importance of considering the degradation level of grasslands when predicting the responses of the ecosystem functions to the projected changes in precipitation regime. These findings are critical for making feasible decisions for the sustainable management of degraded grasslands.


2006 ◽  
Vol 13 (6) ◽  
pp. 651-659 ◽  
Author(s):  
M. E. S. Silva ◽  
L. M. V. Carvalho ◽  
M. A. F. da Silva Dias ◽  
T. de M. B. S. Xavier

Abstract. Complexity and predictability of daily precipitation in a tropical semi-arid region (Ceará State, Brazil) is assessed by applying entropy concepts. Precipitation regimes in that region depend on several dynamical forcings, the most important being the displacement and activity of the Inter-tropical Convergence Zone in the Atlantic Ocean. Topography is another important factor that influences the spatial distribution of rainfall in the region. A hierarchical approach based on sequences of events of different lengths is used to estimate complexity of daily precipitation records. It is shown that precipitation in Ceará exhibit more random than periodic sequences, which indicates a large degree of complexity. Nevertheless, there is indication of potentially inherent rules in the precipitation time-series that could ultimately improve prediction on time-scales between 9–11 days. It is suggested that synoptic-scale disturbances (1–8 days) represent important sources of rules in the precipitation regimes in this region.


1998 ◽  
Vol 18 (2) ◽  
pp. 71-79 ◽  
Author(s):  
S. D. Wullschleger ◽  
P. J. Hanson ◽  
T. J. Tschaplinski

2020 ◽  
Vol 284 ◽  
pp. 107904
Author(s):  
Zuosinan Chen ◽  
Zhiqiang Zhang ◽  
Ge Sun ◽  
Lixin Chen ◽  
Hang Xu ◽  
...  

2004 ◽  
Vol 57 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Xin Rong Li ◽  
Feng Yun Ma ◽  
Hong Lang Xiao ◽  
Xin Ping Wang ◽  
Ke Chung Kim

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